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Samarbejde i de sidste fem år
Projekter
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Machine and Deep Learning for Flexible Energy and Beyond
Brusokas, J. (PI (principal investigator))
01/09/2020 → 31/08/2023
Projekter: Projekt › Forskning
Publikationer
- 4 Konferenceartikel i proceeding
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Device-independent metrics for explicit, a priori measurement of energy flexibility
Lilliu, F., Brusokas, J. & Pedersen, T. B., 4 jun. 2024, e-Energy '24: Proceedings of the 15th ACM International Conference on Future and Sustainable Energy Systems. Singapore, Singapore: Association for Computing Machinery (ACM), s. 268-278Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review
Åben adgangFil2 Downloads (Pure) -
Evaluating the Impact of Error-Bounded Lossy Compression on Time Series Forecasting
Muniz-Cuza, C. E., Jensen, S. K., Brusokas, J., Ho, N. & Pedersen, T. B., 18 mar. 2024, Advances in Database Technology - EDBT. OpenProceedings, s. 650-663 14 s. (Advances in Database Technology - EDBT; Nr. 3, Bind 27).Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review
Åben adgangFil2 Citationer (Scopus)36 Downloads (Pure) -
Machine Learning Platform for Extreme Scale Computing on Compressed IoT Data
Tirupathi, S., Salwala, D., Zizzo, G., Rawat, A., Purcell, M., Jensen, S. K., Thomsen, C., Ho, N., Cuza, C. E. M., Brusokas, J., Pedersen, T. B., Alexiou, G., Giannopoulos, G., Gidarakos, P., Kalimeris, A., Maroulis, S., Papastefanatos, G., Psarros, I., Stamatopoulos, V. & Terrovitis, M., 20 dec. 2022, 2022 IEEE International Conference on Big Data (Big Data). Tsumoto, S., Ohsawa, Y., Chen, L., Van den Poel, D., Hu, X., Motomura, Y., Takagi, T., Wu, L., Xie, Y., Abe, A. & Raghavan, V. (red.). IEEE Communications Society, s. 3179-3185 7 s. 10020540Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review
5 Citationer (Scopus) -
HeatFlex: Machine learning based data-driven flexibility prediction for individual heat pumps
Brusokas, J., Pedersen, T. B., Siksnys, L., Zhang, D. & Chen, K., 22 jun. 2021, e-Energy '21: Proceedings of the Twelfth ACM International Conference on Future Energy Systems. New York: Association for Computing Machinery (ACM), s. 160-170 11 s.Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review
Åben adgangFil11 Citationer (Scopus)270 Downloads (Pure)